Finance MCP — Stocks, Crypto, FX, Portfolio Math

Quick market data for AI workflows: real-time quotes, crypto prices, foreign exchange rates, portfolio P&L calculations. Wraps Yahoo Finance, CoinGecko, and FinViz behind a single tool surface. Use for trading copilots, financial planning chats, or end-of-day reporting agents.

Extract database metadata from PostgreSQL, Snowflake, SQL Server, BigQuery, and Oracle.

Bidirectional CSV <> JSON <> Markdown transformer

# RowHint MCP Server Airline seat quality intelligence via MCP. Per-seat quality scores (1-10) with plain-English notes for **66+ aircraft configurations** across 10 US airlines. Every score is hand-verified against live airline seat maps. ## Setup Add to your Claude Desktop config: ```json { "mcpServers": { "rowhint": { "url": "https://mcp.rowhint.com/mcp" } } } ``` No API key required. All 5 tools are free. ## Key Features - Per-seat quality scores (1-10) with transparent methodology - Plain-English notes explaining why each seat scores the way it does - Best seat finder filtered by cabin class - Side-by-side seat comparison with score differences and summary - Windowless window seat detection - 66+ hand-verified configs across AA, DL, UA, WN, B6, AS, HA, F9, NK, G4 ## Available Tools 1. **`rowhint_get_seat_score`** — Get quality score and notes for a specific seat 2. **`rowhint_get_best_seats`** — Find the highest-rated seats by cabin class 3. **`rowhint_compare_seats`** — Compare two seats side by side 4. **`rowhint_get_config_overview`** — Get full seat map overview for an aircraft 5. **`rowhint_get_windowless_seats`** — Find window seats that actually have no window ## Use Cases - Travelers asking AI assistants "What's the best seat on my Delta A321neo flight?" - Travel app developers adding seat quality data to booking tools - AI travel agents making personalized seat recommendations - Corporate travel tools optimizing seat assignments ## FAQ **Does it cover international airlines?** Not yet — currently covers 10 US airlines. International carriers are on the roadmap. **How are scores calculated?** Each seat is scored 1-10 based on legroom, recline, proximity to galley/lavatory, window alignment, and hardware. Full methodology at [rowhint.com](https://rowhint.com). **Is an API key required?** No. All tools are free with no authentication required. **How often is the data updated?** Configurations are hand-verified against live airline booking sites and updated when airlines change their layouts.

# RowHint MCP Server Airline seat quality intelligence via MCP. Per-seat quality scores (1-10) with plain-English notes for **66+ aircraft configurations** across 10 US airlines. Every score is hand-verified against live airline seat maps. ## Setup Add to your Claude Desktop config: ```json { "mcpServers": { "rowhint": { "url": "https://mcp.rowhint.com/mcp" } } } ``` No API key required. All 5 tools are free. ## Key Features - Per-seat quality scores (1-10) with transparent methodology - Plain-English notes explaining why each seat scores the way it does - Best seat finder filtered by cabin class - Side-by-side seat comparison with score differences and summary - Windowless window seat detection - 66+ hand-verified configs across AA, DL, UA, WN, B6, AS, HA, F9, NK, G4 ## Available Tools 1. **`rowhint_get_seat_score`** — Get quality score and notes for a specific seat 2. **`rowhint_get_best_seats`** — Find the highest-rated seats by cabin class 3. **`rowhint_compare_seats`** — Compare two seats side by side 4. **`rowhint_get_config_overview`** — Get full seat map overview for an aircraft 5. **`rowhint_get_windowless_seats`** — Find window seats that actually have no window ## Use Cases - Travelers asking AI assistants "What's the best seat on my Delta A321neo flight?" - Travel app developers adding seat quality data to booking tools - AI travel agents making personalized seat recommendations - Corporate travel tools optimizing seat assignments ## FAQ **Does it cover international airlines?** Not yet — currently covers 10 US airlines. International carriers are on the roadmap. **How are scores calculated?** Each seat is scored 1-10 based on legroom, recline, proximity to galley/lavatory, window alignment, and hardware. Full methodology at [rowhint.com](https://rowhint.com). **Is an API key required?** No. All tools are free with no authentication required. **How often is the data updated?** Configurations are hand-verified against live airline booking sites and updated when airlines change their layouts.

Menjometre is an independent observatory of Catalan public spending. This MCP server gives any LLM client read-only access to the full dataset and the statistical scoring layer built on top of it. ## Coverage - **~19.5 M** grant records from the Registre d'Ajuts i Subvencions de Catalunya (RAISC), 2016–present - **~1.7 M** public procurement contracts from Dades Obertes de Catalunya - **~496 K** beneficiary entities with normalised identities - A **public-figure graph** linking Parlament deputies, Generalitat officials, and the boards of publicly-funded entities - The **Menjometre score** — a statistical indicator flagging concentration and recurrence patterns in public spending ## What the 48 tools cover | Domain | What you can ask | |---|---| | `entities` | Search, profile, network, activity timeline for any funded organisation | | `grants` | RAISC lookups, concentration analysis, purpose trees, year-over-year trends | | `contractes` | Procurement lookups, sole-source detection, fragmentation patterns | | `organs` | Granting-body rankings and profiles | | `xarxa` | Public-figure graph, shortest path between two people, cluster investigation | | `pressupostos` | Generalitat budget surface | | `meta` | Methodology, scoring explanation, upstream attribution manifest | ## Example prompts - *"Which ten Catalan entities received the most RAISC funds in 2024?"* - *"Show me the concentration profile of the entity with CIF A08000143."* - *"Which grant-giving bodies award the largest share of their budget to a single beneficiary?"* - *"What percentage of Ajuntament de Girona's contracts are sole-source?"* - *"Explain how the Menjometre score is computed."* ## Response envelope Every tool response ships with four things: 1. **Attribution** — a `sources` array citing the upstream dataset, licence (CC-BY-4.0 / Llei 37/2007), and publisher 2. **Scope predicate** — personal-data filters enforced at the database query, not client-side 3. **Framing** — scored responses embed a `score_meta` block with a `not_an_accusation` disclaimer and a link to the methodology page 4. **Neutral statistical language** — the server returns "top decile", "around the median", never accusatory framing Safe for journalism, academic research, and civic-tech tooling. ## Install via npm ```json { "mcpServers": { "menjometre": { "command": "npx", "args": ["-y", "menjometre-mcp"] } } } Also reachable directly over Streamable HTTP at https://www.menjometre.cat/mcp.